Network-based elucidation of human disease similarities reveals common functional modules enriched for pluripotent drug targets.
Current work in elucidating relationships between diseases has largely been based on pre-existing knowledge of disease genes. Consequently, these studies are limited in their discovery of new and unknown disease relationships. We present the first quantitative framework to compare and contrast disea...
Saved in:
| Main Authors: | Silpa Suthram, Joel T Dudley, Annie P Chiang, Rong Chen, Trevor J Hastie, Atul J Butte |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2010-02-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000662&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Disease signatures are robust across tissues and experiments
by: Joel T Dudley, et al.
Published: (2009-09-01) -
Elucidating effects of environmental exposure using human‐induced pluripotent stem cell disease modeling
by: Mark Chandy, et al.
Published: (2022-10-01) -
Enhancing the confidence of potential targets enriched by similarity-centric models: the crucial role of the similarity threshold
by: Ling-Fei Tong, et al.
Published: (2025-08-01) -
In Search of New Drugs: Elucidating the Activity of Structurally Similar Potential Antibiotics Using Molecular Modelling
by: Natalina Makieieva, et al.
Published: (2025-07-01) -
Co-differentiation and enrichment of corneal endothelial cells and keratocytes from human pluripotent stem cells
by: Abhinav Reddy Kethiri, et al.
Published: (2025-05-01)